Overview of our Courses
| Bachelor Courses | When |
|---|---|
| Programming for Data Scientists: Python (Lecture, EN) |
WS 22 |
| Digital Humanities and Information Science (Seminar, DE) |
WS 22 |
| Research Methodology for Computer Science (Lecture, EN) |
SS 23 |
| Introduction to Information Retrieval and Natural Language Processing (Lecture, EN) |
WS 23 |
| Key Competencies in Computer Science (Lecture, EN) |
WS 23 |
| Master Courses | When |
|---|---|
| Selected Topics in Data Science (Seminar, EN) |
WS 22 SS 23 |
| Deep Learning for Natural Language Processing (Lecture, EN) |
SS 23 |
| FPV Quadcopter—Basics (Practical Course, DE) |
SS 23 |
| FPV Quadcopter—Advanced (Practical Course, DE) |
WS 23 |
Please check eCampus for our current courses and more details.
Project Modules
In addition to our regular courses, we offer topics for the project modules listed below.
If you are interested in working on an applied research project, find the project area(s) you are interested in and contact the group members listed in the top-right corner of each project page to discuss the possibilities.
Legend: CS – Applied Computer Science | DS – Applied Data Science
| Who | Module | Title | Credits / Hours |
|---|---|---|---|
| CS | B.Inf.1808 | Anwendungsorientierte Systementwicklung im forschungsbezogenen Praktikum |
5 C / 0.5 SWS |
| CS | B.Inf.1809 | Vertiefte anwendungsorientierte Systementwicklung im forschungsbezogenen Praktikum |
10 C / 1 SWS |
| CS | B.Inf.1810 | Angewandte Informatik im forschungsbezogenen Praktikum |
5 C / 0.5 SWS |
| CS | B.Inf.1811 | Vertiefte Angewandte Informatik im forschungsbezogenen Praktikum |
10 C / 1 SWS |
| CS | B.Inf.1812 | Anwendungsbereich im forschungsbezogenen Praktikum |
5 C / 0.5 SWS |
| DS | B.Inf.1839 | Anwendungsorientiertes Projektpraktikum Data Science |
6 C / 0.5 SWS |
Note: Computer science students can combine any of the project modules worth 6 or 12 credits with one or both key competence modules M.Inf.1809 and M.Inf.1810. That means, depending on your needs, you can obtain 6, 12, 18, or 24 credits for working on the same project with us. Please contact Norman Meuschke to learn more about these possibilities.
Legend: CS – Applied Computer Science | DS – Applied Data Science
| Who | Module | Title | Credits / Hours |
|---|---|---|---|
| CS | M.Inf.1200 | Wissenschaftliches Rechnen in einer kleinen forschungsbezogenen Projektarbeit |
6 C / 0.5 SWS |
| CS | M.Inf.1201 | Systementwicklung in einer forschungsbezogenen Projektarbeit |
12 C / 1 SWS |
| CS | M.Inf.1208 | Wissenschaftliches Rechnen in einer forschungsbezogenen Projektarbeit |
12 C / 1 SWS |
| CS | M.Inf.1258 | Data Science in einer kleinen forschungsbezogenen Projektarbeit |
6 C / 0.5 SWS |
| CS | M.Inf.1259 | Data Science in einer forschungsbezogenen Projektarbeit |
12 C / 1 SWS |
| CS | M.Inf.1809 | Berufsspezifische Schlüsselkompetenzen in einer forschungsbezogenen Projektarbeit |
6 C / 0.5 SWS |
| CS | M.Inf.1810 | Erweiterung berufsspezifischer Schlüsselkompetenzen in einer forschungsbezogenen Projektarbeit |
6 C / 0.5 SWS |
| CS | M.Inf.1909 | Digital Humanities in einer forschungsbezogenen Projektarbeit |
12 C / 1 SWS |
| DS | M.Inf.2801 | Research Lab Rotation | 12 C / 1 SWS |
Detailed Course Descriptions
The course introduces students to procedural and object-oriented programming in Python. The goal is to enable students to independently solve complex application problems using software development. For this purpose, the course conveys essential concepts, algorithms, and data structures to make students familiar with the basic constructs of Python and introduces important external libraries. Read more…
In this seminar, participants will explore current research trends and established approaches in the Digital Humanities and Information Science fields. The participants can choose to complete either the theoretical or the practical research project track of the seminar. Group work is possible for both project types. Read more…
The fast-paced growth of digital collections of text and other data since the 1950s gave rise to new research fields – Information Retrieval and Natural Language Processing. This course introduces core concepts and technologies of Information Retrieval and Natural Language Processing, particularly on the Web. Read more…
Course participants will gain an overview of the state-of-the-art technologies and tools in computer science. They will become familiar with scripting (Python, Shell), Web technologies (HTML, JavaScript) and essential tools for computer scientists (IDEs, code frameworks, LaTeX, reference managers, etc.). Through practical work on projects, students will get deeper into selected topics and technologies and acquire practical skills necessary to solve various real-world problems in computer science. Read more…
In this seminar, participants will explore current research trends and established approaches in the Data Science field. The participants can choose to complete either the theoretical or the practical research project track of the seminar. Group work is possible for both project types. Read more…
Participants of this course will learn to solve a wide range of applied problems in Natural Language Processing, such as text representation, information extraction, text mining, word sense disambiguation, language modeling, similarity detection, and text summarization. The approaches studied in this course focus on neural network architectures such as recurrent neural networks, sequence-to-sequence, and transformers. Read more…
In this practical course, students learn the theoretical and practical basics of quadcopters and use these innovative and complex flying objects for research projects. The focus of the course is the development of quadcopters controllable by FPV (First Person View) goggles, which achieve ranges of approx. 10 km and top speeds of 180 km/h.
The course is offered in the summer semester for beginners and in the winter semester for students who have already taken the beginners course (exceptions may be possible). Read more…
The Advanced Research Seminar is open to students working on research projects in our group, e.g., as part of project modules or bachelor’s and master’s theses. Prof. Gipp and other senior members of the group provide feedback, answer questions and engage in discussions about your research. In addition, the Ph.D. candidates of our group present their latest research results. If you work on a research project with us, we’ll invite you to join us at the appropriate time. Depending on the participants, this seminar will be in German or English.
Thesis Offers (Abschlussarbeiten)
You can find our thesis topics on this dedicated page, or drop Prof. Gipp / his team members an email to schedule a meeting and discuss potential topics. We look forward to hearing from you!
